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Historical Daily Weather Observations
Data Science and Analytics
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About
Data provides historical daily station observations for Germany, sourced from the DWD Climate Data Center (CDC). The observations cover a long time span for the Munich City weather station, identified as station 3379. Included metrics are standard measurements such as temperature, pressure, precipitation, and sunshine duration. This collection is ideal for various forms of data analysis, particularly time series forecasting. It offers a useful challenge for practitioners of all skill levels, as it contains numerous missing values, marked by codes like 999 or -999, which allows users to test different data cleaning and imputation methods.
Columns
The dataset includes 19 distinct columns, each detailing a specific measurement or quality marker:
- STATION_ID: The identification number for the weather station.
- MESS_DATUM: The date of observation, formatted as yyyymmdd.
- QN_3: A quality level indicator applying to subsequent columns; -999 signifies corrupt data.
- FX: Daily maximum of wind gust (m/s).
- FM: Daily mean of wind speed (m/s).
- QN_4: A quality level indicator.
- RSK: Daily precipitation height (mm).
- RSKF: Precipitation form (coded: e.g., 0 for no precipitation, 6 for only rain, 7 for only snow).
- SDK: Daily sunshine duration (h).
- SHK_TAG: Daily snow depth (cm).
- NM: Daily mean of cloud cover.
- VPM: Daily mean of vapor pressure (hPa).
- PM: Daily mean of pressure (hPa).
- TMK: Daily mean of temperature (°C).
- UPM: Daily mean of relative humidity (%).
- TXK: Daily maximum of temperature at 2m height (°C).
- TNK: Daily minimum of temperature at 2m height (°C).
- TGK: Daily minimum of air temperature at 5cm above ground (°C).
- eor: End of data record marker.
Distribution
This product is typically delivered as a data file, such as
weatherdata.csv, which has a file size of approximately 3.45 MB. The structure consists of 19 columns and a total of 25,051 potential records. The data reflects historical observations and is static, with an expected update frequency of 'Never'. It is crucial to note the presence of missing values, which are explicitly marked within the records.Usage
This dataset is perfectly suited for several applications, including:
- Developing and evaluating time series analysis models.
- Studying long-term climate trends and historical weather patterns.
- Applying and comparing various missing value handling techniques (e.g., imputation or removal) using the specific missing value codes.
- Educational projects focused on environmental data processing and forecasting.
Coverage
Geographic Scope: The observations are specific to the Munich City area in Germany, recorded at station 3379.
Time Range: The dataset provides historical daily observations spanning from the year 1954 up to 2022.
License
CC BY-SA 3.0
Who Can Use It
- Data Analysts: Seeking historical data for climate impact studies or environmental modeling.
- Students/Beginners: The presence of specific missing value codes makes it an excellent resource for learning data cleaning methodologies.
- Data Scientists: For training predictive models based on long-term time series weather data.
Dataset Name Suggestions
- Historical Daily Weather Observations: Munich 1954-2022
- DWD Climate Data: Munich City Station 3379 Records
- German Long-Term Weather Variables (Munich)
- Daily Climate Metrics for Munich (1954-2022)
Attributes
Original Data Source: Historical Daily Weather Observations
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